In [1]}, the authors introduced a two-stream architecture with related (and not shared) weights. Specifically, they introduced a weight regularizer \(r_w(\cdot )\)  between the weights of the source and the target models, accounting for the differences between the two domains. The weight regularizer \(r_w(\cdot )\)  is expressed as the exponential loss function below:
\(r_w(\theta ^{s}_j, \theta ^{t}_j) = \exp (\Vert \theta ^{s}_j - \theta ^{t}_j\Vert ^2) -1,\) 
